In this week’s roundup, the next big thing in AI and diving deeper into how AutoML is helping with AI skills. Also, discover 11 ways AI is improving agency workflows, as well as cost optimization in manufacturing. And finally, understand how AI and ML are driving the future of supply chain logistics.
By Kathryn Hume and Matthew E. Taylor, contributing writers for HBR.org
Lee Sedol, a world-class Go Champion, was flummoxed by the 37th move Deepmind’s AlphaGo made in the second match of the famous 2016 series. So flummoxed that it took him nearly 15 minutes to formulate a response. The move was strange to other experienced Go players as well, with one commentator suggesting it was a mistake. In fact, it was a canonical example of an artificial intelligence algorithm learning something that seemed to go beyond just pattern recognition in data — learning something strategic and even creative. Indeed, beyond just feeding the algorithm past examples of Go champions playing games, Deepmind developers trained AlphaGo by having it play many millions of matches against itself. During these matches, the system had the chance to explore new moves and strategies, and then evaluate if they improved performance. Through all this trial and error, it discovered a way to play the game that surprised even the best players in the world.
By Matt Asay, contributing writer for TechRepublic.com
O’Reilly just released its annual AI Adoption in the Enterprise survey, and the results are mostly unsurprising. For example, data scientists from organizations with mature artificial intelligence practices tend to turn to scikit-learn, TensorFlow, PyTorch and Keras. Also, supervised learning (82%) and deep learning (67%) were the most popular techniques used by survey respondents, whatever their phase of AI adoption.
By an Expert Panel, contributing writers for Forbes.com
Artificial intelligence is an innovative technology that aids businesses worldwide in areas ranging from shipping and logistics to sales. In the marketing and advertising space, AI can offer crucial technological advantages. Given their ability to learn from mistakes and track records accurately, AI and machine learning are invaluable tools for collecting and analyzing data.
By Anne Zavarella, contributing writer for JournalofAccountancy.com
Emerging technologies — such as artificial intelligence (AI) and especially machine learning — allow organizations to streamline their operations and better realize growth opportunities. Importantly, they can also prevent costly defects and avoid operational inefficiencies. While COVID-19 sped up the pace of adoption for many industries, including industrial manufacturing, manufacturing companies have historically embraced new ways of working.
By Paul Beavers, contributing writer for SDCExec.com
Artificial intelligence (AI) is more accessible than ever and is increasingly used to improve business operations and outcomes, not only in transportation and logistics management, but also in diverse fields like finance, healthcare, retail and others. An Oxford Economics and NTT DATA survey of 1,000 business leaders conducted in early 2020 reveals that 96% of companies were at least researching AI solutions, and over 70% had either fully implemented or at least piloted the technology.
Did you see an interesting article in the last week? Share it with us! Send it to info [at] lityx.com.